Data Modeler

We're Hiring | Data Modeler | Pan India | TCS

We are looking for experienced Data Modelers to join our growing team. The ideal candidate should have strong hands-on experience in conceptual, logical, and physical data modelling to support operational, analytical, reporting, AI/ML, regulatory, and business decision-making needs, with domain expertise across Banking, Insurance, and Capital Markets.

Location

Pan India

Experience

8–15+ Years

Employment Type

Full-time

Key Responsibilities

• Understand business processes, KPIs, regulatory requirements, and analytical use cases.
• Collaborate with business stakeholders to identify entities, attributes, relationships, hierarchies, and business rules.
• Translate business requirements into conceptual and logical data structures.
• Design and maintain Conceptual (CDM), Logical (LDM), and Physical (PDM) Data Models.
• Build normalized (3NF) operational models and dimensional models (Star/Snowflake) for analytical environments.
• Design canonical enterprise models, domain-specific models, and Fact-Dimension architecture.
• Develop data models supporting Data Products, MDM, AI/ML, and Regulatory Reporting initiatives.
• Align models with enterprise data governance policies and maintain business/technical metadata and lineage.
• Support modernization, cloud migration programs, and performance/scalability optimisation.

Mandatory Skills

• Conceptual, Logical, and Physical Data Modeling; ER Modeling; Dimensional Modeling; Data Vault; Canonical Modeling
• Data Modeling Tools — Erwin, ER/Studio, PowerDesigner, Sparx EA, or Oracle Data Modeler
• Data Warehouse Architecture, Data Lake, Lakehouse, Data Mart Design, ETL/ELT Concepts
• Advanced SQL, Data Profiling, Metadata Management, Data Lineage, Source-to-Target Mapping
• Strong analytical thinking, stakeholder management, and communication skills
• Domain expertise in Banking, Insurance, or Capital Markets

Good to Have

• DAMA CDMP, Data Vault 2.0, TOGAF, erwin/ER-Studio Certification
• Cloud Data Modeling certifications from hyperscalers
• Regulatory and compliance awareness (AML/KYC, Risk & Compliance)
• Data Quality Management and MDM experience

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